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COVID-19 Cases Outbreak Prediction using Supervise Learning Models

Name: COVID-19 Cases Outbreak Prediction using Supervise Learning Models
Brand: LAP LAMBERT Academic Publishing
SKU: 36676129
Price: 14189 HUF
Availability: InStock
Author: Brijesh Patel
ISBN: 9786203863086

Brijesh Patel

Dhairya Vyas

Language

English

Book Paperback

Libristo code: 36676129

Publishers LAP LAMBERT Academic Publishing, June 2021

Authorities all over the world are using COVID-19 episode expectation models to make informed decisi... Full description

Libristo code: 36676129

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Authorities all over the world are using COVID-19 episode expectation models to make informed decisions and maintain necessary control steps. AI (ML)-based deciding components have proven to be useful in predicting perioperative outcomes and improving the dynamic of possible operations. For a long time, machine learning models have been used in a variety of applications that required recognisable proof and the prioritisation of unfavourable factors for a risk. To cope with anticipating problems, a few expectation strategies are commonly used. Authorities all over the world are using COVID-19 episode expectation models to make informed decisions and maintain necessary controls. AI (ML)-based deciding components have shown their worth in predicting perioperative outcomes and improving the dynamic of future operations. For a long time, machine learning models have been used in a variety of applications that needed recognisable proof and prioritisation of unfavourable factors for a danger. To cope with expecting problems, a few expectation strategies are in use.